allow env=<relative path>, relative to current project (#201)

* allow env=<relative path>, relative to current project

* test against newer pydantic

old version was incompatible with python 3.14

---------

Co-authored-by: Christopher Doris <github.com/cjdoris>

Author: cjdoris

CHANGELOG.md

@@ -1,5 +1,9 @@
 # Changelog
 
+## Unreleased
+* If the `env` preference (or `JULIA_CONDAPKG_ENV`) can now be a relative path, which is
+  taken to be relative to the current Julia project.
+
 ## 0.2.33 (2025-09-18)
 * Add `[dev]` section to CondaPkg.toml, specifying development dependencies which are only
   installed for packages being developed/tested.

README.md

@@ -226,7 +226,9 @@ By default, CondaPkg installs Conda packages into the current project, so that d
 projects can have different dependencies. If you wish to centralize the Conda environment,
 you can set one of these preferences:
 - `env=@<name>` for a named shared environment, stored in `~/.julia/conda_environments/<name>`.
-- `env=<some absolute path>` for a shared environment at the given path.
+- `env=<some path>` for a shared environment at the given path. If the path is relative,
+  it is taken to be relative to the current Julia project, e.g if you have `conda-env/` in
+  the same folder as `Project.toml` then set `env=conda-env`.
 - `backend=Current` to use the currently activated Conda environment.
 
 **Warning:** If you do this, the versions specified in a per-julia-version `CondaPkg.toml`

src/resolve.jl

@@ -848,7 +848,9 @@ function resolve(;
         conda_env = joinpath(Base.DEPOT_PATH[1], "conda_environments", conda_env_name)
         shared = true
     else
-        isabspath(conda_env) || error("shared env must be an absolute path")
+        if !isabspath(conda_env)
+            conda_env = joinpath(dirname(Base.active_project()), conda_env)
+        end
         occursin(".CondaPkg", conda_env) &&
             error("shared env must not be an existing .CondaPkg, select another directory")
         shared = true

test/main.jl

@@ -143,9 +143,9 @@ end
     end
 
     # install package without extras
-    CondaPkg.add_pip("pydantic", version = "==2.9.2")
+    CondaPkg.add_pip("pydantic", version = "==2.12.2")
     @test occursin("pydantic", status())
-    @test occursin("(==2.9.2)", status())
+    @test occursin("(==2.12.2)", status())
     CondaPkg.withenv() do
         isnull || run(`python -c "import pydantic"`)
         # fails on Windows sometimes - not sure why
@@ -154,17 +154,17 @@ end
             Sys.iswindows() ||
             @test_throws Exception run(`python -c "import email_validator"`)
     end
-    @test occursin("v2.9.2", status()) == !isnull
+    @test occursin("v2.12.2", status()) == !isnull
 
     # install package with extras
-    CondaPkg.add_pip("pydantic", version = "==2.9.2", extras = ["email"])
+    CondaPkg.add_pip("pydantic", version = "==2.12.2", extras = ["email"])
     @test occursin("pydantic", status())
-    @test occursin("(==2.9.2, [email])", status())
+    @test occursin("(==2.12.2, [email])", status())
     CondaPkg.withenv() do
         isnull || run(`python -c "import pydantic"`)
         isnull || run(`python -c "import email_validator"`)
     end
-    @test occursin("v2.9.2", status()) == !isnull
+    @test occursin("v2.12.2", status()) == !isnull
 
     # remove package
     CondaPkg.rm_pip("pydantic")

test/pkgrepl.jl

@@ -21,11 +21,11 @@ end
 
 @testitem "add/rm pip package" begin
     include("setup.jl")
-    CondaPkg.PkgREPL.pip_add(["six==1.16.0", "pydantic[email]==2.9.2"])
+    CondaPkg.PkgREPL.pip_add(["six==1.16.0", "pydantic[email]==2.12.2"])
     @test occursin("six", status())
     @test occursin("(==1.16.0)", status())
     @test occursin("pydantic", status())
-    @test occursin("(==2.9.2, [email])", status())
+    @test occursin("(==2.12.2, [email])", status())
     CondaPkg.PkgREPL.pip_rm(["six", "pydantic"])
     @test !occursin("six", status())
     @test !occursin("pydantic", status())